Renata Lopes Rosa
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Demóstenes Zegarra RodríguezGraça BressanGisele Maria SchwartzWilson Vicente RuggieroMuhammad SaadiJúlia Issy AbrahãoDick CarrilloOgobuchi Daniel Okey
- Topics
- Sentiment Analysis and Opinion Mining (12 papers)Image and Video Quality Assessment (9 papers)Speech and Audio Processing (7 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
In The Last Decade
Renata Lopes Rosa
57 papers receiving 912 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 408
- Computer Vision and Pattern Recognition 318
- Signal Processing 255
- Computer Networks and Communications 221
- Information Systems 144
Countries citing papers authored by Renata Lopes Rosa
This map shows the geographic impact of Renata Lopes Rosa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Renata Lopes Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renata Lopes Rosa more than expected).
Fields of papers citing papers by Renata Lopes Rosa
This network shows the impact of papers produced by Renata Lopes Rosa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Renata Lopes Rosa. The network helps show where Renata Lopes Rosa may publish in the future.
Co-authorship network of co-authors of Renata Lopes Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Renata Lopes Rosa. A scholar is included among the top collaborators of Renata Lopes Rosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renata Lopes Rosa. Renata Lopes Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | Applications for 5G Networks | 0 |
| 9 | 17 | |
| 10 | 27 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 68 | |
| 14 | 18 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | Predicting the Quality Level of a VoIP Communication through Intelligent Learning Techniques | 5 |
| 19 | ANALYSIS OF ONLINE SURVEY SERVICES FOR MARKETING RESEARCH | 5 |
| 20 | 2 |
About Renata Lopes Rosa
Renata Lopes Rosa is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 60 papers that have together received 956 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (12 papers), Image and Video Quality Assessment (9 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Signal Processing (255 citations), Computer Vision and Pattern Recognition (318 citations) and Health Informatics (18 citations). Renata Lopes Rosa has collaborated with scholars based in Brazil, Pakistan and Chile. Frequent co-authors include Demóstenes Zegarra Rodríguez, Graça Bressan, Gisele Maria Schwartz, Wilson Vicente Ruggiero, Muhammad Saadi, Júlia Issy Abrahão, Dick Carrillo, Ogobuchi Daniel Okey, Pedro H. J. Nardelli and Lunchakorn Wuttisittikulkij. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.